4 citations · 9 across the 7 of their papers we have counts for
7 papers
Mitigating "Epistemic Debt" in Generative AI-Scaffolded Novice Programming using Metacognitive Scripts
Sreecharan Sankaranarayanan
The democratization of Large Language Models has given rise to vibe coding, where novice programmers prioritize semantic intent over syntactic implementation. Without pedagogical g…
Disagreement as Data: Reasoning Trace Analytics in Multi-Agent Systems
Elham Tajik, Conrad Borchers, Bahar Shahrokhian +4
Learning analytics researchers often analyze qualitative student data such as coded annotations or interview transcripts to understand learning processes. With the rise of generati…
Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding
Conrad Borchers, Bahar Shahrokhian, Francesco Balzan +3
Large Language Models (LLMs) enable new possibilities for qualitative research at scale, including annotation and qualitative coding of educational data. While LLM-based multi-agen…
Parametric Constraints for Bayesian Knowledge Tracing from First Principles
Denis Shchepakin, Sreecharan Sankaranarayanan, Dawn Zimmaro
Bayesian Knowledge Tracing (BKT) is a probabilistic model of a learner's state of mastery corresponding to a knowledge component. It considers the learner's state of mastery as a "…
Comparing Example-Based Collaborative Reflection to Problem Solving Practice for Learning during Team-Based Software Engineering Projects
Sreecharan Sankaranarayanan, Siddharth Reddy Kandimalla, Christopher Bogart +5
Contributing to the literature on aptitude-treatment interactions between worked examples and problem-solving, this paper addresses differential learning from the two approaches wh…
Combining Model-Free Q-Ensembles and Model-Based Approaches for Informed Exploration
Sreecharan Sankaranarayanan, Raghuram Mandyam Annasamy, Katia Sycara +1
Q-Ensembles are a model-free approach where input images are fed into different Q-networks and exploration is driven by the assumption that uncertainty is proportional to the varia…
Coordinating Collaborative Chat in Massive Open Online Courses
Gaurav Singh Tomar, Sreecharan Sankaranarayanan, Xu Wang +1
An earlier study of a collaborative chat intervention in a Massive Open Online Course (MOOC) identified negative effects on attrition stemming from a requirement for students to be…